Overview

Dataset statistics

Number of variables26
Number of observations3162
Missing cells0
Missing cells (%)0.0%
Duplicate rows15
Duplicate rows (%)0.5%
Total size in memory667.0 KiB
Average record size in memory216.0 B

Variable types

Numeric9
TimeSeries14
Categorical3

Timeseries statistics

Number of series14
Time series length3162
Starting point1970-01-01 00:00:00
Ending point1970-01-01 00:00:00
Period0 seconds
2025-06-26T17:09:48.916117image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:49.626404image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Alerts

HAND_BRAKE has constant value ""Constant
REVERSE has constant value ""Constant
Dataset has 15 (0.5%) duplicate rowsDuplicates
context is highly imbalanced (63.3%)Imbalance
DRAG is non stationaryNon stationary
GEAR is non stationaryNon stationary
GPS_Z is non stationaryNon stationary
GPS_Y is non stationaryNon stationary
GPS_X is non stationaryNon stationary
x is non stationaryNon stationary
y is non stationaryNon stationary
z is non stationaryNon stationary
YAW is non stationaryNon stationary
ODOMETER is non stationaryNon stationary
SPEED is non stationaryNon stationary
context_encoded is non stationaryNon stationary
DRAG is seasonalSeasonal
GEAR is seasonalSeasonal
GPS_Z is seasonalSeasonal
x is seasonalSeasonal
y is seasonalSeasonal
z is seasonalSeasonal
YAW is seasonalSeasonal
ODOMETER is seasonalSeasonal
SPEED is seasonalSeasonal
context_encoded is seasonalSeasonal
BRAKE has 2829 (89.5%) zerosZeros
DRAG has 53 (1.7%) zerosZeros
GEAR has 63 (2.0%) zerosZeros
GPS_X has 295 (9.3%) zerosZeros
IMU_ACC_Y has 49 (1.5%) zerosZeros
IMU_ACC_x has 53 (1.7%) zerosZeros
PITCH has 57 (1.8%) zerosZeros
PITCH_RATE has 62 (2.0%) zerosZeros
ROLL_RATE has 54 (1.7%) zerosZeros
YAW_RATE has 53 (1.7%) zerosZeros
THROTTLE has 333 (10.5%) zerosZeros
context_encoded has 2535 (80.2%) zerosZeros

Reproduction

Analysis started2025-06-26 20:09:14.381058
Analysis finished2025-06-26 20:09:48.429465
Duration34.05 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

BRAKE
Real number (ℝ)

ZEROS 

Distinct135
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.084945775
Minimum0
Maximum1
Zeros2829
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2025-06-26T17:09:50.061941image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.26505299
Coefficient of variation (CV)3.120261
Kurtosis7.0954927
Mean0.084945775
Median Absolute Deviation (MAD)0
Skewness2.9690573
Sum268.59854
Variance0.070253086
MonotonicityNot monotonic
2025-06-26T17:09:50.137460image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2829
89.5%
1 200
 
6.3%
0.458485 1
 
< 0.1%
0.443476 1
 
< 0.1%
0.349074 1
 
< 0.1%
0.943066 1
 
< 0.1%
0.422491 1
 
< 0.1%
0.379355 1
 
< 0.1%
0.339339 1
 
< 0.1%
0.088653 1
 
< 0.1%
Other values (125) 125
 
4.0%
ValueCountFrequency (%)
0 2829
89.5%
0.001168 1
 
< 0.1%
0.053766 1
 
< 0.1%
0.063111 1
 
< 0.1%
0.065461 1
 
< 0.1%
0.088653 1
 
< 0.1%
0.093903 1
 
< 0.1%
0.104079 1
 
< 0.1%
0.116308 1
 
< 0.1%
0.12516 1
 
< 0.1%
ValueCountFrequency (%)
1 200
6.3%
0.999267 1
 
< 0.1%
0.999034 1
 
< 0.1%
0.993295 1
 
< 0.1%
0.971314 1
 
< 0.1%
0.968562 1
 
< 0.1%
0.964555 1
 
< 0.1%
0.960099 1
 
< 0.1%
0.956182 1
 
< 0.1%
0.94858 1
 
< 0.1%

DRAG
Numeric time series

NON STATIONARY  SEASONAL  ZEROS 

Distinct2333
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.52018
Minimum-15.402758
Maximum240.08147
Zeros53
Zeros (%)1.7%
Memory size49.4 KiB
2025-06-26T17:09:50.365484image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-15.402758
5-th percentile9.2 × 10-5
Q144.902324
median132.74573
Q3205.32027
95-th percentile221.57207
Maximum240.08147
Range255.48422
Interquartile range (IQR)160.41794

Descriptive statistics

Standard deviation82.898901
Coefficient of variation (CV)0.65522275
Kurtosis-1.4553793
Mean126.52018
Median Absolute Deviation (MAD)73.391662
Skewness-0.31640704
Sum400056.81
Variance6872.2278
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1197327425
2025-06-26T17:09:50.565539image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-06-26T17:09:50.998120image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-06-26T17:09:51.186140image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
9.2 × 10-5102
 
3.2%
0.000398 88
 
2.8%
0.000228 54
 
1.7%
0 53
 
1.7%
35.399498 4
 
0.1%
65.901733 3
 
0.1%
65.935287 3
 
0.1%
29.047784 3
 
0.1%
30.125904 3
 
0.1%
31.348665 3
 
0.1%
Other values (2323) 2846
90.0%
ValueCountFrequency (%)
-15.402758 2
0.1%
-15.031488 2
0.1%
-14.35781 2
0.1%
-10.875965 2
0.1%
-8.477321 2
0.1%
-6.51059 2
0.1%
-5.991441 2
0.1%
-4.71921 2
0.1%
-4.589242 2
0.1%
-4.479235 2
0.1%
ValueCountFrequency (%)
240.081466 1
< 0.1%
238.69757 1
< 0.1%
237.797805 1
< 0.1%
237.431015 1
< 0.1%
236.679595 1
< 0.1%
236.29277 1
< 0.1%
235.936615 1
< 0.1%
235.333297 1
< 0.1%
235.14215 1
< 0.1%
234.918273 1
< 0.1%
2025-06-26T17:09:50.652054image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ACF and PACF

ENGINE_RPM
Real number (ℝ)

Distinct2446
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.782263
Minimum0
Maximum52.198051
Zeros9
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2025-06-26T17:09:51.390853image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26.922428
Q133.863835
median39.367835
Q340.85668
95-th percentile43.972306
Maximum52.198051
Range52.198051
Interquartile range (IQR)6.9928455

Descriptive statistics

Standard deviation6.7823525
Coefficient of variation (CV)0.18439193
Kurtosis7.5351129
Mean36.782263
Median Absolute Deviation (MAD)3.15229
Skewness-2.1056744
Sum116305.52
Variance46.000305
MonotonicityNot monotonic
2025-06-26T17:09:51.467853image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
0.3%
10.107251 5
 
0.2%
41.249801 4
 
0.1%
0.438544 4
 
0.1%
14.868809 4
 
0.1%
14.357683 4
 
0.1%
6.850517 4
 
0.1%
2.740438 4
 
0.1%
1.096267 4
 
0.1%
0.070178 4
 
0.1%
Other values (2436) 3116
98.5%
ValueCountFrequency (%)
0 9
0.3%
0.070178 4
0.1%
0.175432 4
0.1%
0.438544 4
0.1%
1.096267 4
0.1%
2.740438 4
0.1%
6.850517 4
0.1%
7.587834 1
 
< 0.1%
7.58786 3
 
0.1%
9.185283 2
 
0.1%
ValueCountFrequency (%)
52.198051 1
< 0.1%
52.161445 1
< 0.1%
51.445297 1
< 0.1%
51.41645 1
< 0.1%
51.139308 1
< 0.1%
51.037883 1
< 0.1%
50.792701 2
0.1%
50.779041 1
< 0.1%
50.634082 1
< 0.1%
49.700012 1
< 0.1%

GEAR
Numeric time series

NON STATIONARY  SEASONAL  ZEROS 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4440228
Minimum0
Maximum4
Zeros63
Zeros (%)2.0%
Memory size49.4 KiB
2025-06-26T17:09:51.698379image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q33
95-th percentile3
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.85865931
Coefficient of variation (CV)0.35133032
Kurtosis0.026033246
Mean2.4440228
Median Absolute Deviation (MAD)0
Skewness-0.77268895
Sum7728
Variance0.7372958
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value4.756340403 × 10-5
2025-06-26T17:09:51.885538image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
2025-06-26T17:09:52.232586image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-06-26T17:09:52.411608image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
3 1711
54.1%
2 802
25.4%
1 451
 
14.3%
4 135
 
4.3%
0 63
 
2.0%
ValueCountFrequency (%)
0 63
 
2.0%
1 451
 
14.3%
2 802
25.4%
3 1711
54.1%
4 135
 
4.3%
ValueCountFrequency (%)
4 135
 
4.3%
3 1711
54.1%
2 802
25.4%
1 451
 
14.3%
0 63
 
2.0%
2025-06-26T17:09:51.952051image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ACF and PACF

GPS_Z
Numeric time series

NON STATIONARY  SEASONAL 

Distinct1322
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9607263
Minimum-0.106241
Maximum30.633733
Zeros0
Zeros (%)0.0%
Memory size49.4 KiB
2025-06-26T17:09:52.760160image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.106241
5-th percentile-0.00398995
Q1-0.003764
median-0.003636
Q30.89702925
95-th percentile30.571885
Maximum30.633733
Range30.739974
Interquartile range (IQR)0.90079325

Descriptive statistics

Standard deviation10.262038
Coefficient of variation (CV)2.0686564
Kurtosis1.6180245
Mean4.9607263
Median Absolute Deviation (MAD)0.0002245
Skewness1.8338399
Sum15685.817
Variance105.30943
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1019008254
2025-06-26T17:09:52.955378image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-06-26T17:09:53.310439image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-06-26T17:09:53.492472image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
-0.003727 43
 
1.4%
-0.003734 38
 
1.2%
-0.003729 34
 
1.1%
-0.003731 32
 
1.0%
-0.00373 31
 
1.0%
-0.003732 27
 
0.9%
-0.003733 26
 
0.8%
-0.003728 23
 
0.7%
-0.003811 14
 
0.4%
-0.003726 11
 
0.3%
Other values (1312) 2883
91.2%
ValueCountFrequency (%)
-0.106241 5
0.2%
-0.100269 1
 
< 0.1%
-0.089697 1
 
< 0.1%
-0.089238 5
0.2%
-0.088586 1
 
< 0.1%
-0.088585 4
0.1%
-0.073091 1
 
< 0.1%
-0.059454 1
 
< 0.1%
-0.054624 1
 
< 0.1%
-0.054506 4
0.1%
ValueCountFrequency (%)
30.633733 3
0.1%
30.626789 3
0.1%
30.623703 3
0.1%
30.62154 3
0.1%
30.617187 3
0.1%
30.606622 3
0.1%
30.602586 3
0.1%
30.600172 3
0.1%
30.597862 3
0.1%
30.595624 3
0.1%
2025-06-26T17:09:53.026888image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ACF and PACF

GPS_Y
Numeric time series

NON STATIONARY 

Distinct125
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4599304 × 10-5
Minimum-6.3 × 10-5
Maximum6.1 × 10-5
Zeros17
Zeros (%)0.5%
Memory size49.4 KiB
2025-06-26T17:09:53.845627image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-6.3 × 10-5
5-th percentile-6.195 × 10-5
Q1-2 × 10-6
median1.5 × 10-5
Q35 × 10-5
95-th percentile5.8 × 10-5
Maximum6.1 × 10-5
Range0.000124
Interquartile range (IQR)5.2 × 10-5

Descriptive statistics

Standard deviation3.6789324 × 10-5
Coefficient of variation (CV)2.5199368
Kurtosis-0.5858575
Mean1.4599304 × 10-5
Median Absolute Deviation (MAD)2.9 × 10-5
Skewness-0.57762291
Sum0.046163
Variance1.3534544 × 10-9
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3440667256
2025-06-26T17:09:54.123940image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-06-26T17:09:54.468887image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-06-26T17:09:54.663370image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
-2 × 10-6594
 
18.8%
5.6 × 10-5193
 
6.1%
-6.3 × 10-5134
 
4.2%
5.7 × 10-5129
 
4.1%
5.8 × 10-5117
 
3.7%
-3 × 10-697
 
3.1%
6.1 × 10-589
 
2.8%
2.7 × 10-581
 
2.6%
2.6 × 10-571
 
2.2%
4.4 × 10-553
 
1.7%
Other values (115) 1604
50.7%
ValueCountFrequency (%)
-6.3 × 10-5134
4.2%
-6.2 × 10-525
 
0.8%
-6.1 × 10-519
 
0.6%
-6 × 10-517
 
0.5%
-5.9 × 10-514
 
0.4%
-5.8 × 10-513
 
0.4%
-5.7 × 10-513
 
0.4%
-5.6 × 10-512
 
0.4%
-5.5 × 10-510
 
0.3%
-5.4 × 10-511
 
0.3%
ValueCountFrequency (%)
6.1 × 10-589
2.8%
6 × 10-523
 
0.7%
5.9 × 10-515
 
0.5%
5.8 × 10-5117
3.7%
5.7 × 10-5129
4.1%
5.6 × 10-5193
6.1%
5.5 × 10-551
 
1.6%
5.4 × 10-547
 
1.5%
5.3 × 10-541
 
1.3%
5.2 × 10-538
 
1.2%
2025-06-26T17:09:54.192450image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ACF and PACF

GPS_X
Numeric time series

NON STATIONARY  ZEROS 

Distinct140
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2232764 × 10-6
Minimum-7.6 × 10-5
Maximum6.3 × 10-5
Zeros295
Zeros (%)9.3%
Memory size49.4 KiB
2025-06-26T17:09:55.024475image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-7.6 × 10-5
5-th percentile-5.7 × 10-5
Q1-1 × 10-6
median6 × 10-6
Q32.5 × 10-5
95-th percentile6.1 × 10-5
Maximum6.3 × 10-5
Range0.000139
Interquartile range (IQR)2.6 × 10-5

Descriptive statistics

Standard deviation2.9479704 × 10-5
Coefficient of variation (CV)3.1962291
Kurtosis1.3209153
Mean9.2232764 × 10-6
Median Absolute Deviation (MAD)8 × 10-6
Skewness-0.57588349
Sum0.029164
Variance8.6905295 × 10-10
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9141550938
2025-06-26T17:09:55.228575image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-06-26T17:09:55.572257image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-06-26T17:09:55.758280image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
-1 × 10-6404
 
12.8%
0 295
 
9.3%
9 × 10-6204
 
6.5%
6.1 × 10-5154
 
4.9%
-2 × 10-6135
 
4.3%
3.1 × 10-5130
 
4.1%
4 × 10-685
 
2.7%
5 × 10-676
 
2.4%
6.2 × 10-564
 
2.0%
6 × 10-659
 
1.9%
Other values (130) 1556
49.2%
ValueCountFrequency (%)
-7.6 × 10-546
1.5%
-7.5 × 10-516
 
0.5%
-7.4 × 10-510
 
0.3%
-7.3 × 10-58
 
0.3%
-7.2 × 10-58
 
0.3%
-7.1 × 10-56
 
0.2%
-7 × 10-56
 
0.2%
-6.9 × 10-56
 
0.2%
-6.8 × 10-56
 
0.2%
-6.7 × 10-55
 
0.2%
ValueCountFrequency (%)
6.3 × 10-528
 
0.9%
6.2 × 10-564
2.0%
6.1 × 10-5154
4.9%
6 × 10-520
 
0.6%
5.9 × 10-515
 
0.5%
5.8 × 10-512
 
0.4%
5.7 × 10-512
 
0.4%
5.6 × 10-510
 
0.3%
5.5 × 10-510
 
0.3%
5.4 × 10-59
 
0.3%
2025-06-26T17:09:55.301137image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ACF and PACF

x
Numeric time series

NON STATIONARY  SEASONAL 

Distinct32
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6378141.2
Minimum6378136
Maximum6378167
Zeros0
Zeros (%)0.0%
Memory size49.4 KiB
2025-06-26T17:09:56.111660image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum6378136
5-th percentile6378136
Q16378136
median6378136
Q36378137
95-th percentile6378167
Maximum6378167
Range31
Interquartile range (IQR)1

Descriptive statistics

Standard deviation10.397213
Coefficient of variation (CV)1.6301321 × 10-6
Kurtosis1.5728917
Mean6378141.2
Median Absolute Deviation (MAD)0
Skewness1.8192731
Sum2.0167682 × 1010
Variance108.10203
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1018458657
2025-06-26T17:09:56.301718image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
2025-06-26T17:09:56.644656image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-06-26T17:09:56.825611image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
6378136 2105
66.6%
6378167 300
 
9.5%
6378137 274
 
8.7%
6378138 49
 
1.5%
6378139 39
 
1.2%
6378147 34
 
1.1%
6378146 27
 
0.9%
6378142 26
 
0.8%
6378145 25
 
0.8%
6378140 25
 
0.8%
Other values (22) 258
 
8.2%
ValueCountFrequency (%)
6378136 2105
66.6%
6378137 274
 
8.7%
6378138 49
 
1.5%
6378139 39
 
1.2%
6378140 25
 
0.8%
6378141 24
 
0.8%
6378142 26
 
0.8%
6378143 4
 
0.1%
6378144 5
 
0.2%
6378145 25
 
0.8%
ValueCountFrequency (%)
6378167 300
9.5%
6378166 18
 
0.6%
6378165 18
 
0.6%
6378164 15
 
0.5%
6378163 18
 
0.6%
6378162 15
 
0.5%
6378161 15
 
0.5%
6378160 15
 
0.5%
6378159 15
 
0.5%
6378158 15
 
0.5%
2025-06-26T17:09:56.367722image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ACF and PACF

y
Numeric time series

NON STATIONARY  SEASONAL 

Distinct709
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.61575
Minimum-408
Maximum392
Zeros2
Zeros (%)0.1%
Memory size49.4 KiB
2025-06-26T17:09:57.249311image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-408
5-th percentile-395
Q1-16
median98.5
Q3323
95-th percentile374
Maximum392
Range800
Interquartile range (IQR)339

Descriptive statistics

Standard deviation237.12904
Coefficient of variation (CV)2.5330037
Kurtosis-0.60054837
Mean93.61575
Median Absolute Deviation (MAD)183.5
Skewness-0.57450288
Sum296013
Variance56230.182
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.313784212
2025-06-26T17:09:57.456814image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-06-26T17:09:57.809915image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-06-26T17:09:58.005944image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
-16 504
 
15.9%
363 133
 
4.2%
364 92
 
2.9%
-407 89
 
2.8%
172 79
 
2.5%
374 69
 
2.2%
392 68
 
2.2%
-19 48
 
1.5%
-17 42
 
1.3%
-20 42
 
1.3%
Other values (699) 1996
63.1%
ValueCountFrequency (%)
-408 8
 
0.3%
-407 89
2.8%
-406 10
 
0.3%
-405 8
 
0.3%
-404 7
 
0.2%
-403 6
 
0.2%
-402 4
 
0.1%
-401 5
 
0.2%
-400 5
 
0.2%
-399 3
 
0.1%
ValueCountFrequency (%)
392 68
2.2%
391 9
 
0.3%
390 7
 
0.2%
389 5
 
0.2%
388 5
 
0.2%
387 4
 
0.1%
386 3
 
0.1%
385 4
 
0.1%
384 3
 
0.1%
383 3
 
0.1%
2025-06-26T17:09:57.531323image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ACF and PACF

z
Numeric time series

NON STATIONARY  SEASONAL 

Distinct738
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.395003
Minimum-484
Maximum399
Zeros12
Zeros (%)0.4%
Memory size49.4 KiB
2025-06-26T17:09:58.361061image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-484
5-th percentile-364.95
Q1-11
median43
Q3162
95-th percentile389
Maximum399
Range883
Interquartile range (IQR)173

Descriptive statistics

Standard deviation188.36788
Coefficient of variation (CV)3.1714433
Kurtosis1.290322
Mean59.395003
Median Absolute Deviation (MAD)55
Skewness-0.57688889
Sum187807
Variance35482.459
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.9054799011
2025-06-26T17:09:58.556089image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-06-26T17:09:58.890134image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-06-26T17:09:59.078646image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
-12 302
 
9.6%
4 215
 
6.8%
61 169
 
5.3%
-11 129
 
4.1%
198 110
 
3.5%
389 62
 
2.0%
399 58
 
1.8%
-13 57
 
1.8%
30 50
 
1.6%
388 45
 
1.4%
Other values (728) 1965
62.1%
ValueCountFrequency (%)
-484 8
 
0.3%
-483 32
1.0%
-482 5
 
0.2%
-481 3
 
0.1%
-480 3
 
0.1%
-479 2
 
0.1%
-478 3
 
0.1%
-477 2
 
0.1%
-476 2
 
0.1%
-475 2
 
0.1%
ValueCountFrequency (%)
399 58
1.8%
398 34
1.1%
390 38
1.2%
389 62
2.0%
388 45
1.4%
387 6
 
0.2%
386 5
 
0.2%
385 3
 
0.1%
384 3
 
0.1%
383 3
 
0.1%
2025-06-26T17:09:58.622597image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ACF and PACF

HAND_BRAKE
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.4 KiB
0
3162 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3162
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3162
100.0%

Length

2025-06-26T17:09:59.278667image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-06-26T17:09:59.376207image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0 3162
100.0%

Most occurring characters

ValueCountFrequency (%)
0 3162
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3162
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 3162
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3162
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 3162
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3162
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 3162
100.0%

IMU_ACC_Y
Real number (ℝ)

ZEROS 

Distinct2437
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.52360855
Minimum-13.443899
Maximum11.406861
Zeros49
Zeros (%)1.5%
Negative997
Negative (%)31.5%
Memory size49.4 KiB
2025-06-26T17:09:59.432719image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-13.443899
5-th percentile-0.92325035
Q1-0.05393075
median0.1791115
Q31.302482
95-th percentile1.9864321
Maximum11.406861
Range24.85076
Interquartile range (IQR)1.3564127

Descriptive statistics

Standard deviation1.3232966
Coefficient of variation (CV)2.5272631
Kurtosis26.560176
Mean0.52360855
Median Absolute Deviation (MAD)0.5414505
Skewness0.17262914
Sum1655.6502
Variance1.7511138
MonotonicityNot monotonic
2025-06-26T17:09:59.502228image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
 
1.5%
-0.140223 4
 
0.1%
1.277475 3
 
0.1%
4.024365 3
 
0.1%
4.422623 3
 
0.1%
-5.01921 3
 
0.1%
-0.529007 3
 
0.1%
1.078569 3
 
0.1%
1.384626 3
 
0.1%
1.462672 3
 
0.1%
Other values (2427) 3085
97.6%
ValueCountFrequency (%)
-13.443899 2
0.1%
-13.160375 2
0.1%
-7.43546 2
0.1%
-5.050714 2
0.1%
-5.01921 3
0.1%
-4.812965 1
 
< 0.1%
-4.675046 1
 
< 0.1%
-4.606865 1
 
< 0.1%
-3.912284 1
 
< 0.1%
-3.847465 1
 
< 0.1%
ValueCountFrequency (%)
11.406861 2
0.1%
9.90489 1
< 0.1%
9.826623 1
< 0.1%
9.425202 1
< 0.1%
9.396113 1
< 0.1%
9.357986 1
< 0.1%
9.054358 1
< 0.1%
8.990455 1
< 0.1%
8.602247 1
< 0.1%
8.444489 1
< 0.1%

IMU_ACC_x
Real number (ℝ)

ZEROS 

Distinct2434
Distinct (%)77.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.23019244
Minimum-58.826141
Maximum18.526969
Zeros53
Zeros (%)1.7%
Negative843
Negative (%)26.7%
Memory size49.4 KiB
2025-06-26T17:09:59.576229image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-58.826141
5-th percentile-1.329974
Q1-0.011554
median0.3540905
Q30.64987775
95-th percentile1.903606
Maximum18.526969
Range77.35311
Interquartile range (IQR)0.66143175

Descriptive statistics

Standard deviation2.9174438
Coefficient of variation (CV)12.673934
Kurtosis243.00133
Mean0.23019244
Median Absolute Deviation (MAD)0.3540905
Skewness-13.7002
Sum727.8685
Variance8.5114781
MonotonicityNot monotonic
2025-06-26T17:09:59.650741image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53
 
1.7%
0.098638 4
 
0.1%
0.779737 4
 
0.1%
0.614271 4
 
0.1%
-1.401461 3
 
0.1%
-0.635707 3
 
0.1%
-13.557045 3
 
0.1%
-51.609375 3
 
0.1%
1.903606 3
 
0.1%
1.771035 3
 
0.1%
Other values (2424) 3079
97.4%
ValueCountFrequency (%)
-58.826141 2
0.1%
-51.609375 3
0.1%
-42.812061 2
0.1%
-32.608562 2
0.1%
-23.43909 2
0.1%
-13.557045 3
0.1%
-6.718339 2
0.1%
-5.691582 2
0.1%
-4.825169 3
0.1%
-3.268458 3
0.1%
ValueCountFrequency (%)
18.526969 2
0.1%
12.541857 2
0.1%
6.672418 2
0.1%
5.61059 2
0.1%
5.509144 2
0.1%
5.257305 2
0.1%
5.158426 2
0.1%
4.849678 2
0.1%
4.822124 2
0.1%
4.688665 2
0.1%

PITCH
Numeric time series

ZEROS 

Distinct1476
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.014136645
Minimum-0.115947
Maximum0.194723
Zeros57
Zeros (%)1.8%
Memory size49.4 KiB
2025-06-26T17:09:59.955852image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.115947
5-th percentile-0.03078
Q1-9.35 × 10-5
median0.000151
Q30.00050675
95-th percentile0.1747458
Maximum0.194723
Range0.31067
Interquartile range (IQR)0.00060025

Descriptive statistics

Standard deviation0.053451862
Coefficient of variation (CV)3.7810854
Kurtosis4.3979852
Mean0.014136645
Median Absolute Deviation (MAD)0.000291
Skewness2.1661417
Sum44.700071
Variance0.0028571015
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value1.757725905 × 10-6
2025-06-26T17:10:00.153884image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-06-26T17:10:00.496861image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-06-26T17:10:00.679389image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0 57
 
1.8%
0.000136 34
 
1.1%
0.000128 23
 
0.7%
0.000131 20
 
0.6%
0.000132 19
 
0.6%
0.000134 18
 
0.6%
0.00013 18
 
0.6%
0.000123 18
 
0.6%
0.000124 18
 
0.6%
0.000129 17
 
0.5%
Other values (1466) 2920
92.3%
ValueCountFrequency (%)
-0.115947 1
< 0.1%
-0.115237 1
< 0.1%
-0.115163 1
< 0.1%
-0.114611 1
< 0.1%
-0.108314 1
< 0.1%
-0.107674 1
< 0.1%
-0.105349 1
< 0.1%
-0.102454 1
< 0.1%
-0.098286 1
< 0.1%
-0.09749 1
< 0.1%
ValueCountFrequency (%)
0.194723 1
 
< 0.1%
0.193723 1
 
< 0.1%
0.193165 1
 
< 0.1%
0.192845 1
 
< 0.1%
0.192656 1
 
< 0.1%
0.189495 1
 
< 0.1%
0.187323 1
 
< 0.1%
0.186611 1
 
< 0.1%
0.186039 1
 
< 0.1%
0.180003 3
0.1%
2025-06-26T17:10:00.220392image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ACF and PACF

PITCH_RATE
Real number (ℝ)

ZEROS 

Distinct1851
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00071973435
Minimum-0.529735
Maximum0.641424
Zeros62
Zeros (%)2.0%
Negative1214
Negative (%)38.4%
Memory size49.4 KiB
2025-06-26T17:10:00.877416image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.529735
5-th percentile-0.026233
Q1-0.0005725
median8.4 × 10-5
Q30.00070675
95-th percentile0.014463
Maximum0.641424
Range1.171159
Interquartile range (IQR)0.00127925

Descriptive statistics

Standard deviation0.046528644
Coefficient of variation (CV)64.64697
Kurtosis64.453952
Mean0.00071973435
Median Absolute Deviation (MAD)0.0006415
Skewness2.1577452
Sum2.2758
Variance0.0021649147
MonotonicityNot monotonic
2025-06-26T17:10:00.949939image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
 
2.0%
-2.1 × 10-514
 
0.4%
-2.8 × 10-512
 
0.4%
1.8 × 10-512
 
0.4%
3.2 × 10-511
 
0.3%
-1.7 × 10-511
 
0.3%
8.4 × 10-511
 
0.3%
1 × 10-611
 
0.3%
2 × 10-510
 
0.3%
0.000142 10
 
0.3%
Other values (1841) 2998
94.8%
ValueCountFrequency (%)
-0.529735 1
< 0.1%
-0.488124 1
< 0.1%
-0.447172 1
< 0.1%
-0.428374 1
< 0.1%
-0.403625 1
< 0.1%
-0.378662 1
< 0.1%
-0.360015 1
< 0.1%
-0.330706 1
< 0.1%
-0.323859 1
< 0.1%
-0.309684 1
< 0.1%
ValueCountFrequency (%)
0.641424 1
 
< 0.1%
0.542346 1
 
< 0.1%
0.481479 1
 
< 0.1%
0.46821 3
0.1%
0.406736 3
0.1%
0.330782 3
0.1%
0.329931 1
 
< 0.1%
0.320779 1
 
< 0.1%
0.308208 1
 
< 0.1%
0.304064 1
 
< 0.1%

ROLL_RATE
Real number (ℝ)

ZEROS 

Distinct2406
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.023850397
Minimum-1.501337
Maximum0.757288
Zeros54
Zeros (%)1.7%
Negative1283
Negative (%)40.6%
Memory size49.4 KiB
2025-06-26T17:10:01.020456image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-1.501337
5-th percentile-0.07134425
Q1-0.006439
median0.0053485
Q30.07373625
95-th percentile0.12893475
Maximum0.757288
Range2.258625
Interquartile range (IQR)0.08017525

Descriptive statistics

Standard deviation0.10301319
Coefficient of variation (CV)4.3191392
Kurtosis76.536085
Mean0.023850397
Median Absolute Deviation (MAD)0.02654
Skewness-3.9105155
Sum75.414956
Variance0.010611716
MonotonicityNot monotonic
2025-06-26T17:10:01.094204image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54
 
1.7%
-7 × 10-610
 
0.3%
-7.4 × 10-55
 
0.2%
-0.008655 4
 
0.1%
0.073069 4
 
0.1%
0.004182 4
 
0.1%
0.011238 4
 
0.1%
-0.000496 4
 
0.1%
-0.005855 4
 
0.1%
-0.005732 4
 
0.1%
Other values (2396) 3065
96.9%
ValueCountFrequency (%)
-1.501337 2
0.1%
-1.366656 2
0.1%
-1.331732 2
0.1%
-0.469687 1
 
< 0.1%
-0.45628 1
 
< 0.1%
-0.437784 1
 
< 0.1%
-0.411591 1
 
< 0.1%
-0.392912 3
0.1%
-0.367209 1
 
< 0.1%
-0.314526 1
 
< 0.1%
ValueCountFrequency (%)
0.757288 1
< 0.1%
0.738262 1
< 0.1%
0.715061 1
< 0.1%
0.701859 1
< 0.1%
0.686914 1
< 0.1%
0.674528 1
< 0.1%
0.66279 1
< 0.1%
0.636216 1
< 0.1%
0.626367 1
< 0.1%
0.5877 1
< 0.1%

IMU_ACC_Z
Real number (ℝ)

Distinct2325
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7413936
Minimum-26.522083
Maximum20.668369
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)0.2%
Memory size49.4 KiB
2025-06-26T17:10:01.165336image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-26.522083
5-th percentile9.3760505
Q19.7841265
median9.8077775
Q39.8099953
95-th percentile10.145661
Maximum20.668369
Range47.190452
Interquartile range (IQR)0.02586875

Descriptive statistics

Standard deviation1.6327719
Coefficient of variation (CV)0.16761173
Kurtosis385.28463
Mean9.7413936
Median Absolute Deviation (MAD)0.006153
Skewness-16.995635
Sum30802.286
Variance2.6659439
MonotonicityNot monotonic
2025-06-26T17:10:01.238849image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.809906 8
 
0.3%
9.809928 6
 
0.2%
9.808494 5
 
0.2%
9.808762 5
 
0.2%
9.663406 4
 
0.1%
9.80983 4
 
0.1%
9.809869 4
 
0.1%
9.809886 4
 
0.1%
9.50986 4
 
0.1%
9.809402 4
 
0.1%
Other values (2315) 3114
98.5%
ValueCountFrequency (%)
-26.522083 3
0.1%
-26.52206 1
 
< 0.1%
-26.522052 1
 
< 0.1%
4.328944 1
 
< 0.1%
4.528802 1
 
< 0.1%
4.649256 2
0.1%
4.854049 1
 
< 0.1%
5.074608 2
0.1%
5.404777 3
0.1%
5.899897 1
 
< 0.1%
ValueCountFrequency (%)
20.668369 1
< 0.1%
19.430276 1
< 0.1%
18.589395 1
< 0.1%
18.063919 1
< 0.1%
16.744367 1
< 0.1%
16.628337 1
< 0.1%
16.287488 1
< 0.1%
16.145395 1
< 0.1%
14.832685 1
< 0.1%
14.83267 2
0.1%

YAW
Numeric time series

NON STATIONARY  SEASONAL 

Distinct2316
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3250196
Minimum0.000954
Maximum6.28302
Zeros0
Zeros (%)0.0%
Memory size49.4 KiB
2025-06-26T17:10:01.460926image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0.000954
5-th percentile0.8657019
Q11.6466107
median3.140936
Q34.714986
95-th percentile6.0081144
Maximum6.28302
Range6.282066
Interquartile range (IQR)3.0683752

Descriptive statistics

Standard deviation1.649487
Coefficient of variation (CV)0.4960834
Kurtosis-0.92360575
Mean3.3250196
Median Absolute Deviation (MAD)1.56423
Skewness0.11449682
Sum10513.712
Variance2.7208074
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.0003498529758
2025-06-26T17:10:01.660977image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-06-26T17:10:02.071121image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-06-26T17:10:02.257134image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
1.576706 26
 
0.8%
5.172364 24
 
0.8%
1.576716 16
 
0.5%
4.899054 12
 
0.4%
4.708467 12
 
0.4%
1.576726 10
 
0.3%
4.712043 7
 
0.2%
3.092188 6
 
0.2%
1.57045 6
 
0.2%
4.712734 5
 
0.2%
Other values (2306) 3038
96.1%
ValueCountFrequency (%)
0.000954 1
< 0.1%
0.001082 1
< 0.1%
0.002004 2
0.1%
0.002227 2
0.1%
0.003184 1
< 0.1%
0.003983 1
< 0.1%
0.00469 2
0.1%
0.005005 1
< 0.1%
0.005077 2
0.1%
0.005313 2
0.1%
ValueCountFrequency (%)
6.28302 2
0.1%
6.282881 2
0.1%
6.281734 1
< 0.1%
6.281616 2
0.1%
6.281593 2
0.1%
6.28158 1
< 0.1%
6.281479 1
< 0.1%
6.28142 2
0.1%
6.281297 1
< 0.1%
6.281018 2
0.1%
2025-06-26T17:10:01.731491image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ACF and PACF

YAW_RATE
Real number (ℝ)

ZEROS 

Distinct2196
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0022498112
Minimum-0.213879
Maximum0.650105
Zeros53
Zeros (%)1.7%
Negative1443
Negative (%)45.6%
Memory size49.4 KiB
2025-06-26T17:10:02.456358image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.213879
5-th percentile-0.0160075
Q1-0.00155175
median4.9 × 10-5
Q30.001931
95-th percentile0.030574
Maximum0.650105
Range0.863984
Interquartile range (IQR)0.00348275

Descriptive statistics

Standard deviation0.03158687
Coefficient of variation (CV)14.039787
Kurtosis215.36194
Mean0.0022498112
Median Absolute Deviation (MAD)0.001722
Skewness11.576178
Sum7.113903
Variance0.00099773033
MonotonicityNot monotonic
2025-06-26T17:10:02.530515image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53
 
1.7%
8 × 10-614
 
0.4%
0.003568 6
 
0.2%
-0.000157 6
 
0.2%
0.001766 6
 
0.2%
9 × 10-66
 
0.2%
0.000135 6
 
0.2%
-0.000115 5
 
0.2%
-0.000295 5
 
0.2%
0.000163 5
 
0.2%
Other values (2186) 3050
96.5%
ValueCountFrequency (%)
-0.213879 3
0.1%
-0.133506 1
 
< 0.1%
-0.100518 2
0.1%
-0.093696 1
 
< 0.1%
-0.090864 3
0.1%
-0.090546 3
0.1%
-0.080911 2
0.1%
-0.080683 1
 
< 0.1%
-0.078437 1
 
< 0.1%
-0.072334 1
 
< 0.1%
ValueCountFrequency (%)
0.650105 3
0.1%
0.457395 3
0.1%
0.267846 1
 
< 0.1%
0.217327 3
0.1%
0.211907 3
0.1%
0.152384 1
 
< 0.1%
0.150369 1
 
< 0.1%
0.148911 1
 
< 0.1%
0.142004 1
 
< 0.1%
0.132529 1
 
< 0.1%

ODOMETER
Numeric time series

NON STATIONARY  SEASONAL 

Distinct2444
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean614.1373
Minimum0
Maximum1460.4874
Zeros5
Zeros (%)0.2%
Memory size49.4 KiB
2025-06-26T17:10:02.761792image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.723196
Q1150.26232
median491.91386
Q31128.2242
95-th percentile1376.9025
Maximum1460.4874
Range1460.4874
Interquartile range (IQR)977.96186

Descriptive statistics

Standard deviation503.49857
Coefficient of variation (CV)0.81984692
Kurtosis-1.4754163
Mean614.1373
Median Absolute Deviation (MAD)421.56207
Skewness0.31213709
Sum1941902.1
Variance253510.81
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1978918544
2025-06-26T17:10:02.962811image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-06-26T17:10:03.310543image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-06-26T17:10:03.493567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
263.789489 8
 
0.3%
1376.92163 6
 
0.2%
263.789428 6
 
0.2%
0 5
 
0.2%
0.116114 5
 
0.2%
0.199005 5
 
0.2%
0.21666 4
 
0.1%
263.789337 4
 
0.1%
263.789367 4
 
0.1%
263.789398 4
 
0.1%
Other values (2434) 3111
98.4%
ValueCountFrequency (%)
0 5
0.2%
0.116114 5
0.2%
0.182002 3
0.1%
0.182003 2
 
0.1%
0.199005 5
0.2%
0.21666 4
0.1%
0.216661 1
 
< 0.1%
0.25074 4
0.1%
0.254205 1
 
< 0.1%
0.285552 2
 
0.1%
ValueCountFrequency (%)
1460.487426 1
< 0.1%
1458.810546 1
< 0.1%
1457.138183 1
< 0.1%
1455.470214 1
< 0.1%
1453.801757 1
< 0.1%
1452.12561 1
< 0.1%
1450.449462 1
< 0.1%
1448.777099 1
< 0.1%
1447.10437 1
< 0.1%
1445.423828 1
< 0.1%
2025-06-26T17:10:03.035323image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ACF and PACF

REVERSE
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size49.4 KiB
0
3162 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters3162
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 3162
100.0%

Length

2025-06-26T17:10:03.682074image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-06-26T17:10:03.729579image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0 3162
100.0%

Most occurring characters

ValueCountFrequency (%)
0 3162
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3162
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 3162
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3162
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 3162
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3162
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 3162
100.0%

STEER
Numeric time series

Distinct2410
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.031367995
Minimum-0.19815
Maximum0.52695
Zeros0
Zeros (%)0.0%
Memory size49.4 KiB
2025-06-26T17:10:03.942003image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum-0.19815
5-th percentile-0.03110775
Q1-0.003816
median0.013834
Q30.032788
95-th percentile0.123587
Maximum0.52695
Range0.7251
Interquartile range (IQR)0.036604

Descriptive statistics

Standard deviation0.095899182
Coefficient of variation (CV)3.0572302
Kurtosis16.099213
Mean0.031367995
Median Absolute Deviation (MAD)0.0182345
Skewness3.9737712
Sum99.1856
Variance0.0091966531
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value5.923256661 × 10-7
2025-06-26T17:10:04.140027image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-06-26T17:10:04.551080image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-06-26T17:10:04.731758image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
-0.005025 12
 
0.4%
-0.005045 8
 
0.3%
-0.005024 6
 
0.2%
-0.005035 6
 
0.2%
-0.005034 4
 
0.1%
0.032771 4
 
0.1%
-0.018632 4
 
0.1%
-0.000732 4
 
0.1%
0.0298 4
 
0.1%
0.038198 4
 
0.1%
Other values (2400) 3106
98.2%
ValueCountFrequency (%)
-0.19815 1
< 0.1%
-0.192432 1
< 0.1%
-0.177023 1
< 0.1%
-0.17543 1
< 0.1%
-0.141214 1
< 0.1%
-0.136721 1
< 0.1%
-0.119564 1
< 0.1%
-0.118632 2
0.1%
-0.115572 1
< 0.1%
-0.104772 1
< 0.1%
ValueCountFrequency (%)
0.52695 2
0.1%
0.522865 2
0.1%
0.520324 2
0.1%
0.52012 2
0.1%
0.512896 2
0.1%
0.512569 2
0.1%
0.507948 2
0.1%
0.502882 2
0.1%
0.502346 2
0.1%
0.497945 2
0.1%
2025-06-26T17:10:04.208535image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ACF and PACF

THROTTLE
Real number (ℝ)

ZEROS 

Distinct116
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.87699249
Minimum0
Maximum1
Zeros333
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size49.4 KiB
2025-06-26T17:10:04.928354image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.31945779
Coefficient of variation (CV)0.36426514
Kurtosis3.3673275
Mean0.87699249
Median Absolute Deviation (MAD)0
Skewness-2.2936846
Sum2773.0502
Variance0.10205328
MonotonicityNot monotonic
2025-06-26T17:10:05.003867image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2715
85.9%
0 333
 
10.5%
0.199838 1
 
< 0.1%
0.236976 1
 
< 0.1%
0.513125 1
 
< 0.1%
0.565894 1
 
< 0.1%
0.52597 1
 
< 0.1%
0.624973 1
 
< 0.1%
0.509991 1
 
< 0.1%
0.324813 1
 
< 0.1%
Other values (106) 106
 
3.4%
ValueCountFrequency (%)
0 333
10.5%
0.002366 1
 
< 0.1%
0.007231 1
 
< 0.1%
0.022224 1
 
< 0.1%
0.024958 1
 
< 0.1%
0.057062 1
 
< 0.1%
0.070636 1
 
< 0.1%
0.074476 1
 
< 0.1%
0.074889 1
 
< 0.1%
0.080993 1
 
< 0.1%
ValueCountFrequency (%)
1 2715
85.9%
0.99459 1
 
< 0.1%
0.975629 1
 
< 0.1%
0.97409 1
 
< 0.1%
0.970321 1
 
< 0.1%
0.96945 1
 
< 0.1%
0.968705 1
 
< 0.1%
0.956779 1
 
< 0.1%
0.954376 1
 
< 0.1%
0.948815 1
 
< 0.1%

SPEED
Numeric time series

NON STATIONARY  SEASONAL 

Distinct2459
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.30455
Minimum0
Maximum17.457639
Zeros3
Zeros (%)0.1%
Memory size49.4 KiB
2025-06-26T17:10:05.232668image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.015166684
Q17.5564346
median12.985402
Q316.147764
95-th percentile16.77356
Maximum17.457639
Range17.457639
Interquartile range (IQR)8.5913289

Descriptive statistics

Standard deviation5.7544302
Coefficient of variation (CV)0.50903666
Kurtosis-0.62488818
Mean11.30455
Median Absolute Deviation (MAD)3.2594041
Skewness-0.86113994
Sum35744.986
Variance33.113467
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.007446588213
2025-06-26T17:10:05.429681image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-06-26T17:10:05.777212image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-06-26T17:10:05.960807image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
6.702996021 4
 
0.1%
0.365968 4
 
0.1%
0.280211 4
 
0.1%
13.16185478 3
 
0.1%
5.419372335 3
 
0.1%
0.995152718 3
 
0.1%
0.7257391286 3
 
0.1%
0.6028081796 3
 
0.1%
0.2296083513 3
 
0.1%
0.06764027104 3
 
0.1%
Other values (2449) 3129
99.0%
ValueCountFrequency (%)
0 3
0.1%
0.0004270960079 2
0.1%
0.0004536342139 2
0.1%
0.0005245426579 2
0.1%
0.0005543311285 2
0.1%
0.0005813587533 2
0.1%
0.0006099819669 2
0.1%
0.000680742242 2
0.1%
0.0007178983215 2
0.1%
0.0007280734853 2
0.1%
ValueCountFrequency (%)
17.45763936 1
< 0.1%
17.42016652 1
< 0.1%
17.36425131 1
< 0.1%
17.36375115 1
< 0.1%
17.33673071 1
< 0.1%
17.32257958 1
< 0.1%
17.31929111 1
< 0.1%
17.29252595 1
< 0.1%
17.27487451 1
< 0.1%
17.26617515 1
< 0.1%
2025-06-26T17:10:05.500193image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ACF and PACF

context
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size49.4 KiB
road
2535 
ramp_desc_7.5_0.0_1
291 
ramp_two_way_12.5_1.0_2
 
160
ramp_asc_2.5_90.5_1
 
113
ramp_two_way_12.5_1.0_1
 
44
Other values (3)
 
19

Length

Max length23
Median length4
Mean length7.2473118
Min length4

Characters and Unicode

Total characters22916
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowroad
2nd rowroad
3rd rowroad
4th rowroad
5th rowroad

Common Values

ValueCountFrequency (%)
road 2535
80.2%
ramp_desc_7.5_0.0_1 291
 
9.2%
ramp_two_way_12.5_1.0_2 160
 
5.1%
ramp_asc_2.5_90.5_1 113
 
3.6%
ramp_two_way_12.5_1.0_1 44
 
1.4%
pothole_medium_2.56_24 9
 
0.3%
pothole_small_2.56_39 5
 
0.2%
pothole_small_2.56_37 5
 
0.2%

Length

2025-06-26T17:10:06.159835image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-06-26T17:10:06.223345image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
road 2535
80.2%
ramp_desc_7.5_0.0_1 291
 
9.2%
ramp_two_way_12.5_1.0_2 160
 
5.1%
ramp_asc_2.5_90.5_1 113
 
3.6%
ramp_two_way_12.5_1.0_1 44
 
1.4%
pothole_medium_2.56_24 9
 
0.3%
pothole_small_2.56_39 5
 
0.2%
pothole_small_2.56_37 5
 
0.2%

Most occurring characters

ValueCountFrequency (%)
a 3470
15.1%
r 3143
13.7%
d 2835
12.4%
o 2777
12.1%
_ 2693
11.8%
. 1235
 
5.4%
0 899
 
3.9%
1 856
 
3.7%
5 740
 
3.2%
m 636
 
2.8%
Other values (17) 3632
15.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 22916
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 3470
15.1%
r 3143
13.7%
d 2835
12.4%
o 2777
12.1%
_ 2693
11.8%
. 1235
 
5.4%
0 899
 
3.9%
1 856
 
3.7%
5 740
 
3.2%
m 636
 
2.8%
Other values (17) 3632
15.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 22916
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 3470
15.1%
r 3143
13.7%
d 2835
12.4%
o 2777
12.1%
_ 2693
11.8%
. 1235
 
5.4%
0 899
 
3.9%
1 856
 
3.7%
5 740
 
3.2%
m 636
 
2.8%
Other values (17) 3632
15.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 22916
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 3470
15.1%
r 3143
13.7%
d 2835
12.4%
o 2777
12.1%
_ 2693
11.8%
. 1235
 
5.4%
0 899
 
3.9%
1 856
 
3.7%
5 740
 
3.2%
m 636
 
2.8%
Other values (17) 3632
15.8%

context_encoded
Numeric time series

NON STATIONARY  SEASONAL  ZEROS 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.89089184
Minimum0
Maximum7
Zeros2535
Zeros (%)80.2%
Memory size49.4 KiB
2025-06-26T17:10:06.459373image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.1050667
Coefficient of variation (CV)2.3628757
Kurtosis3.7470918
Mean0.89089184
Median Absolute Deviation (MAD)0
Skewness2.3012958
Sum2817
Variance4.4313058
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.001312022779
2025-06-26T17:10:06.641653image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
2025-06-26T17:10:07.052562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-06-26T17:10:07.230581image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ValueCountFrequency (%)
0 2535
80.2%
7 291
 
9.2%
3 160
 
5.1%
1 113
 
3.6%
2 44
 
1.4%
6 9
 
0.3%
4 5
 
0.2%
5 5
 
0.2%
ValueCountFrequency (%)
0 2535
80.2%
1 113
 
3.6%
2 44
 
1.4%
3 160
 
5.1%
4 5
 
0.2%
5 5
 
0.2%
6 9
 
0.3%
7 291
 
9.2%
ValueCountFrequency (%)
7 291
 
9.2%
6 9
 
0.3%
5 5
 
0.2%
4 5
 
0.2%
3 160
 
5.1%
2 44
 
1.4%
1 113
 
3.6%
0 2535
80.2%
2025-06-26T17:10:06.705170image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
ACF and PACF

Interactions

2025-06-26T17:09:46.780543image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:19.643319image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:20.900868image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:22.058386image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:23.278395image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:24.590490image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:25.780966image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:27.053848image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:28.276305image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:29.565954image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:30.806412image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:32.008920image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:33.162221image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:34.484163image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:35.721593image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:36.967492image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:38.136839image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:39.353740image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:40.545882image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:41.758034image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:43.003712image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:44.293837image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:45.545047image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:46.833054image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:19.717828image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:20.949868image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:22.107423image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:23.331467image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:24.641490image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:25.829094image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:27.106360image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:28.326809image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:29.620461image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:30.855417image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:32.057920image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:33.218727image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:34.535003image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:35.770591image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:37.016014image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:38.185343image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:39.405262image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:40.595394image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:41.812548image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:43.054834image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:44.340831image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:45.597553image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:46.883056image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:19.765831image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:20.997374image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:22.155424image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:23.382946image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:24.690997image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:25.879629image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:27.157360image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:28.376815image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:29.670465image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:30.900930image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:32.104435image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:33.269728image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:34.585535image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:35.821099image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:37.065011image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:38.236343image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:39.457258image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:40.643432image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:41.864545image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:43.176352image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:44.392353image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:45.647553image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:46.933564image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:19.815848image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:21.046374image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:22.202484image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:23.432946image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:24.740997image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:25.928632image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:27.208873image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:28.426320image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:29.724324image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:30.947925image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:32.152432image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:33.323236image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:34.639532image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:35.870102image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:37.117522image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:38.284854image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:39.505767image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:40.696231image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:41.917056image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:43.225854image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:44.443019image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:45.700070image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:46.992072image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:19.870852image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:21.097978image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:22.258484image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:23.489455image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:24.794504image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:25.984146image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:27.266874image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:28.481827image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:29.781345image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:30.999524image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:32.207122image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:33.380751image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:34.696058image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:35.924613image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:37.174520image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:38.338854image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:39.561765image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:40.752737image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:41.975057image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:43.281866image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:44.503757image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:45.756077image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:47.043072image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:19.919949image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:21.147978image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:22.308539image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:23.544453image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:24.846504image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:26.033148image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:27.318381image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:28.532827image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:29.835345image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:31.049763image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:32.255688image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:33.433756image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:34.768062image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:36.045362image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:37.226025image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:38.388367image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:39.610274image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:40.803901image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:42.032562image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:43.334375image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:44.553756image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:45.808583image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:47.097586image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:19.973954image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:21.197485image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:22.359594image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:23.600082image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:24.897020image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:26.083661image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:27.370383image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:28.584352image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:29.889860image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:31.098269image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:32.304759image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:33.487265image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:34.821570image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:36.097727image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:37.277030image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:38.437363image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:39.663273image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:40.921550image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:42.086075image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:43.389221image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:44.606275image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:45.860583image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:47.156589image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:20.027459image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:21.252487image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:22.474644image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:23.656721image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:24.953018image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:26.136658image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:27.423896image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:28.640339image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:29.945853image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:31.150270image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:32.355759image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:33.540264image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:34.877576image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2025-06-26T17:09:47.212095image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:20.079967image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:21.302993image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:22.527150image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:23.711789image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:25.006526image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:26.190180image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2025-06-26T17:09:29.999372image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
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2025-06-26T17:09:24.191355image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:25.465181image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:26.651952image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:27.951305image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:29.239406image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:30.477369image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:31.704335image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:32.850678image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:34.153280image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:35.400061image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:36.654944image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:37.824097image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:39.045084image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:40.228334image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:41.457507image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:42.674731image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:43.962772image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:45.171905image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:46.445296image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:47.803312image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:20.634345image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:21.795174image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:23.018319image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:24.243355image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:25.513686image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:26.701458image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:28.000397image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:29.292926image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:30.526874image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:31.750337image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:32.897198image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:34.205796image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:35.452060image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:36.701463image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:37.874097image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:39.093724image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:40.275344image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:41.503015image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:42.726245image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:44.014290image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:45.218995image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:46.511508image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:47.857311image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:20.689855image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:21.846175image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:23.071320image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:24.302437image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:25.566695image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:26.841970image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:28.057398image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:29.351922image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:30.583381image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:31.802846image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:32.951197image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:34.262624image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:35.505567image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:36.754466image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:37.925814image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:39.144727image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:40.328852image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:41.555018image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:42.780251image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:44.069290image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:45.271513image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:46.566508image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:47.913818image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:20.742853image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:21.902288image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:23.124826image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:24.358440image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:25.621206image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:26.896478image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:28.112909image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:29.407435image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:30.641382image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:31.855846image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:33.005706image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:34.320441image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:35.560566image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:36.810971image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:37.978815image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:39.199231image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:40.383357image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:41.606528image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:42.836761image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:44.126798image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:45.325018image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:46.621021image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:47.964818image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:20.791362image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:21.950288image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:23.174828image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:24.410947image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:25.671421image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:26.946478image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:28.164910image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:29.457433image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:30.693906image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:31.903411image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:33.054706image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:34.372851image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:35.610073image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:36.859971image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:38.030314image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:39.248231image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:40.436360image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:41.653523image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:42.890278image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:44.178803image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:45.439530image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:46.672021image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:48.021334image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:20.846361image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:22.004383image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:23.226891image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:24.465949image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:25.726851image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:27.000966image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:28.220513image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:29.511957image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:30.750902image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:31.957414image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:33.109218image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:34.427646image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:35.665072image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:36.913489image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:38.082830image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:39.302739image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:40.491878image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:41.706034image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:42.946813image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:44.235318image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:45.493044image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
2025-06-26T17:09:46.726538image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/

Missing values

2025-06-26T17:09:48.154945image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
A simple visualization of nullity by column.
2025-06-26T17:09:48.331958image/svg+xmlMatplotlib v3.8.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

BRAKEDRAGENGINE_RPMGEARGPS_ZGPS_YGPS_XxyzHAND_BRAKEIMU_ACC_YIMU_ACC_xPITCHPITCH_RATEROLL_RATEIMU_ACC_ZYAWYAW_RATEODOMETERREVERSESTEERTHROTTLESPEEDcontextcontext_encoded
1970-01-01 00:00:00.0000000000.0160.67613238.9413713.00.0297890.0000310.0000096378137.0202.061.00-2.0811200.8439200.0003880.000907-0.1515559.7999421.586746-0.001738227.1103660-0.0562491.014.292417road0
1970-01-01 00:00:00.0000000010.0162.47929339.0084803.00.0297980.0000310.0000096378137.0201.061.00-2.1375510.8336670.0003720.000829-0.1551149.7992711.571487-0.001407228.5438690-0.0351131.014.372172road0
1970-01-01 00:00:00.0000000020.0164.40821839.0711783.00.0297980.0000310.0000096378137.0199.061.00-1.3465000.8648630.0003680.000463-0.1122869.8032831.5584050.007560229.9857780-0.0148891.014.457378road0
1970-01-01 00:00:00.0000000030.0166.29875139.1391983.00.0297950.0000310.0000096378137.0198.061.00-1.0480830.8562780.0003710.000252-0.0861579.8059961.5487170.008834231.43606500.0022441.014.540159road0
1970-01-01 00:00:00.0000000040.0168.16894539.2041093.00.0297940.0000300.0000096378137.0196.061.00-0.7354840.8403730.0003750.000056-0.0431809.8081981.5426350.011964232.89459200.0090301.014.622102road0
1970-01-01 00:00:00.0000000050.0170.01681539.2686883.00.0297930.0000300.0000096378137.0195.061.00-0.2757150.8196480.000379-0.000038-0.0046169.8095331.5405900.012093234.36123600.0197491.014.702448road0
1970-01-01 00:00:00.0000000060.0171.80087239.3332553.00.0297930.0000300.0000096378137.0193.061.000.2226930.7879220.000382-0.0000120.0403359.8097291.5427750.012797235.83576900.0388281.014.779649road0
1970-01-01 00:00:00.0000000070.0173.59144539.3951113.00.0297930.0000300.0000096378137.0192.061.000.5594240.7581370.0003840.0000780.0710939.8088691.5486200.010157237.31788600.0412951.014.856264road0
1970-01-01 00:00:00.0000000080.0175.39633139.4576953.00.0297930.0000290.0000096378137.0190.061.000.6446900.7688090.0003870.0001810.0863389.8081251.5566270.005760238.80767800.0376511.014.932651road0
1970-01-01 00:00:00.0000000090.0177.13784739.5214113.00.0297930.0000290.0000096378137.0189.061.000.9901560.7470060.0003850.0003400.1049209.8071081.5663470.004423240.30490100.0459041.015.006085road0
BRAKEDRAGENGINE_RPMGEARGPS_ZGPS_YGPS_XxyzHAND_BRAKEIMU_ACC_YIMU_ACC_xPITCHPITCH_RATEROLL_RATEIMU_ACC_ZYAWYAW_RATEODOMETERREVERSESTEERTHROTTLESPEEDcontextcontext_encoded
1970-01-01 00:00:00.0000031520.035.73310040.5031312.02.3817040.0000090.0000636378139.057.0399.00-0.0506120.8554890.088079-0.0146120.0109999.6695974.718536-0.02045039.4289930-0.0029001.06.739917road0
1970-01-01 00:00:00.0000031530.035.70774041.0334772.02.4339760.0000090.0000636378139.058.0399.000.1926890.8451550.0876700.0362500.0243259.2287104.7201320.11415240.1025540-0.0013971.06.733252road0
1970-01-01 00:00:00.0000031540.035.84096139.1303782.02.4817070.0000090.0000636378139.059.0399.000.6602000.6109830.0835980.0291760.0044799.3288154.7215300.08196540.77408900.0006831.06.746641road0
1970-01-01 00:00:00.0000031550.035.24262641.1837802.02.5422610.0000090.0000636378139.059.0399.00-0.6295310.6466500.083283-0.0106160.00010911.0873074.721265-0.02254541.44388500.0019031.06.685026road0
1970-01-01 00:00:00.0000031560.035.66083138.2186392.02.6046870.0000090.0000636378139.060.0399.000.5798041.0637720.085588-0.018025-0.0044509.9364014.720419-0.04648242.11594000.0032171.06.737875road0
1970-01-01 00:00:00.0000031570.035.62525940.8860352.02.6700870.0000090.0000636378139.061.0399.000.0320410.9386820.087220-0.0145560.00110010.0638134.720216-0.05486342.78886000.0020321.06.712889road0
1970-01-01 00:00:00.0000031580.035.39949841.2498012.02.7343290.0000090.0000636378139.061.0399.00-0.1402230.7797370.088375-0.008769-0.0086559.6634064.719921-0.04808743.46090700.0021981.06.702996road0
1970-01-01 00:00:00.0000031590.035.39949841.2498012.02.7343290.0000090.0000636378139.061.0399.00-0.1402230.7797370.088375-0.008769-0.0086559.6634064.719921-0.04808743.46090700.0044741.06.702996road0
1970-01-01 00:00:00.0000031600.035.39949841.2498012.02.7343290.0000090.0000636378139.061.0399.00-0.1402230.7797370.088375-0.008769-0.0086559.6634064.719921-0.04808743.46090700.0051191.06.702996road0
1970-01-01 00:00:00.0000031610.035.39949841.2498012.02.7343290.0000090.0000636378139.061.0399.00-0.1402230.7797370.088375-0.008769-0.0086559.6634064.719921-0.04808743.4609070-0.0073321.06.702996road0

Duplicate rows

Most frequently occurring

BRAKEDRAGENGINE_RPMGEARGPS_ZGPS_YGPS_XxyzHAND_BRAKEIMU_ACC_YIMU_ACC_xPITCHPITCH_RATEROLL_RATEIMU_ACC_ZYAWYAW_RATEODOMETERREVERSESTEERTHROTTLESPEEDcontextcontext_encoded# duplicates
00.00.00022828.1965921.00.1652620.0000260.0000096378137.0172.061.000.0394030.0961970.0099320.0001360.0000589.8093591.5767160.000010263.7893370-0.0050351.00.000525road02
10.00.00022828.1972461.00.1652810.0000260.0000096378137.0172.061.000.0400070.0986380.0099280.000103-0.0000809.8078201.576706-0.000004263.7893370-0.0050351.00.000610road02
20.00.00022828.1986991.00.1652800.0000260.0000096378137.0172.061.000.0394070.0986530.0099290.000018-0.0003659.8087621.5767160.000045263.7894590-0.0050251.00.001697road02
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